Senior Autonomous Systems Research Scientist

Carnegie Mellon University

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Work type
On-site
Location
Pittsburgh, PAArlington, VA
Employment
Full-time
Posted
3 days ago
Freshness
Confirmed live yesterday
Nearby
99+ roles within 25 mi

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About Carnegie Mellon University

Carnegie Mellon University is a leading private research university in Pittsburgh, Pennsylvania, internationally recognized for programs in computer science, engineering, business, the arts, and artificial intelligence. Industry: Higher Education & Research

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TL;DR · Senior Autonomous Systems Research Scientist

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The Senior Autonomous Systems Research Scientist joins the AI for Autonomy Lab within the AI Division to address fundamental research questions regarding high-stakes autonomous systems. This role involves developing a research agenda and leading interdisciplinary teams to transform research into prototype operational capabilities for government customers. Key responsibilities include conducting hands-on research in applied machine learning and robotics, mentoring junior staff, and publishing in peer-reviewed journals. The position requires expertise in UxV autonomy, collaborative autonomy, counter-autonomy, and modeling and simulation. Candidates must demonstrate proficiency in Python and C/C++ while applying scientific methods to maritime, land, or space domains. The work focuses on improving system effectiveness, motion planning, and mission objectives while mitigating vulnerabilities associated with machine learning in national security use cases.

Skills

Machine Learning Robotics Python C++ Motion Planning Task Planning Mission Planning Command and Control Modeling and Simulation UxV Autonomy Collaborative Autonomy Counter-Autonomy AI Data-driven Evaluation

What you'll do

  • Lead novel research in applied machine learning and robotics for autonomous systems.
  • Develop a research agenda to support critical U.S. government needs.
  • Turn research results into prototype operational capabilities for government customers and stakeholders.
  • Create tools and techniques for evaluating and explaining AI-enabled autonomous system performance.
  • Study AI approaches for motion, task, and mission planning to enable scalable teaming.
  • Investigate methods for mitigating vulnerabilities associated with machine learning in autonomous systems.
  • Use simulation to develop data-driven evaluation techniques for real-world learning-based systems.
  • Write and deliver successful research proposals to funding agencies.

What we're looking for

  • BS in Robotics, Computer Science, Machine Learning, Electrical Engineering, or related discipline with ten years of experience.
  • MS in Robotics, Computer Science, Machine Learning, Electrical Engineering, or related discipline with eight years of experience.
  • PhD in Robotics, Computer Science, Machine Learning, Electrical Engineering, or related discipline with five years of experience.
  • Ability to obtain and maintain a Department of War security clearance.
  • Published track record of conducting machine learning and robotics research using scientific methods.
  • Experience with programming languages such as Python and C/C++.
  • Experience writing and delivering successful research proposals to funding agencies.
  • Experience working with Department of War and Intelligence Community (preferred).

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